MIT EECS | Keel Foundation Undergraduate Research and Innovation Scholar
Simulating Artificial Spiking Neural Networks Made from Superconducting Nanowires
Karl K. Berggren
The overarching goal of this project is to develop devices that naturally mimic the dynamics of the human brain for use in spiking neural networks, with the ultimate goal of achieving fast, energy-efficient computation. Recently, an artificial neuron made from superconducting nanowires has shown promise as a neuromorphic device with competitive energy performance. This project builds on the previous nanowire neuron design by using simulations to study how the neuron can be expanded into larger networks and used to solve problems.
I am interested in how technology makes an impact in our lives and the give/take relationship which it has with humanity. I find this line between nature and technology to be blurry, and I think there is great room for discovery there. That is why this project, which takes a fundamentally different approach to computing, inspired me so much. It tries to look beyond the everyday computer and posits the question: what more are we capable of?